A Symbolic Aggregate Approximation-Based Data Mining Tool for the Detection and Classification of Power Grid Voltage Events

Citation

• Musarrat, M. N., Islam, M. R., Muttaqi, K. M., Sutanto, D., & Fekih, A. (2022). A Symbolic Aggregate Approximation-Based Data Mining Tool for the Detection and Classification of Power Grid Voltage Events. In Advances in Control Techniques for Smart Grid Applications (pp. 123-140). Springer Nature. doi:10.1007/978-981-16-9856-9_5

Digital Object Identifier (doi)

• 10.1007/978-981-16-9856-9_5

Web Of Science Accession Number

Book Title

• Advances in Control Techniques for Smart Grid Applications

Start Page

• 123

End Page

• 140

Abstract

UOW Authors

•   Islam, Md Rabiul
•   Muttaqi, Kashem

Publication Date

• 2022

Publisher

• Springer Nature 

Citation

• Musarrat, M. N., Islam, M. R., Muttaqi, K. M., Sutanto, D., & Fekih, A. (2022). A Symbolic Aggregate Approximation-Based Data Mining Tool for the Detection and Classification of Power Grid Voltage Events. In Advances in Control Techniques for Smart Grid Applications (pp. 123-140). Springer Nature. doi:10.1007/978-981-16-9856-9_5

Digital Object Identifier (doi)

• 10.1007/978-981-16-9856-9_5

Web Of Science Accession Number

Book Title

• Advances in Control Techniques for Smart Grid Applications

Start Page

• 123

End Page

• 140